AI Data Engineer
Tasks
- Build and operate MCP servers
- Build reliability infrastructure logging tracing retries
- Build single and multi-agent systems
- Define and run LLM evaluation pipelines
- Design agentic systems
- Develop agentic workflows with LangGraph
- Implement tool calling with SDKs
- Maintain state management
- Manage prompts and structured outputs
- Mentor junior engineers
- Optimize performance and cost efficiency
Perks/Benefits
- Global career advancement opportunities
- High impact on risk management
- Professional growth
- Talent dense team
Skills/Tech-stack
API Design | Agentic Systems | Data Pipelines | Distributed Systems | Embeddings | High Throughput | High-throughput data | High-throughput data pipelines | LLM | LLM Evaluation | Langgraph | MCP | Model Context Protocol | Prompt engineering | Python | RAG | SDK | Tool-Calling | Vector Databases
Education
N/A
Roles
AI Data Engineer | Data Engineer | Engineer | Senior AI Data Engineer
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